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Brandon M Turner

Showing results (11-20 of 55) with videos related to

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Network Neuroscience (Cambridge, Mass.)|May 27, 2024
Constraining functional coactivation with a cluster-based structural connectivity networkInhan Kang, Matthew Galdo, Brandon M Turner
Psychological Methods|October 11, 2019
Variational Bayesian methods for cognitive scienceMatthew Galdo, Giwon Bahg, Brandon M Turner
Psychological Review|April 17, 2013
Likelihood-free Bayesian analysis of memory modelsBrandon M Turner, Simon Dennis, Trisha Van Zandt
Neuroimage|January 3, 2018
Outlook on deep neural networks in computational cognitive neuroscienceBrandon M Turner, Steven Miletić, Birte U Forstmann
Cognitive, Affective & Behavioral Neuroscience|June 8, 2023
Explaining the description-experience gap in risky decision-making: learning and memory retention during experience as causal mechanismsNathaniel Haines, Peter D Kvam, Brandon M Turner
Advances in Child Development and Behavior|June 7, 2026
Computational modeling in developmental scienceRobby Ralston, Brandon M Turner, Vladimir M Sloutsky
The Behavioral and Brain Sciences|February 16, 2019
Bayesian statistics to test Bayes optimalityBrandon M Turner, James L McClelland, Jerome Busemeyer
Neuroimage|March 26, 2017
Factor analysis linking functions for simultaneously modeling neural and behavioral dataBrandon M Turner, Ting Wang, Edgar C Merkle
Psychological Review|September 8, 2011
A dynamic stimulus-driven model of signal detectionBrandon M Turner, Trisha Van Zandt, Scott Brown
Journal of Experimental Psychology. General|June 23, 2025
Algorithmic personalization of information can cause inaccurate generalization and overconfidenceGiwon Bahg, Vladimir M Sloutsky, Brandon M Turner
Pageof 6

Showing results (11-20 of 55) with videos related to

Sort By:
Pageof 6
Network Neuroscience (Cambridge, Mass.)|May 27, 2024
Constraining functional coactivation with a cluster-based structural connectivity networkInhan Kang, Matthew Galdo, Brandon M Turner
Psychological Methods|October 11, 2019
Variational Bayesian methods for cognitive scienceMatthew Galdo, Giwon Bahg, Brandon M Turner
Psychological Review|April 17, 2013
Likelihood-free Bayesian analysis of memory modelsBrandon M Turner, Simon Dennis, Trisha Van Zandt
Neuroimage|January 3, 2018
Outlook on deep neural networks in computational cognitive neuroscienceBrandon M Turner, Steven Miletić, Birte U Forstmann
Cognitive, Affective & Behavioral Neuroscience|June 8, 2023
Explaining the description-experience gap in risky decision-making: learning and memory retention during experience as causal mechanismsNathaniel Haines, Peter D Kvam, Brandon M Turner
Advances in Child Development and Behavior|June 7, 2026
Computational modeling in developmental scienceRobby Ralston, Brandon M Turner, Vladimir M Sloutsky
The Behavioral and Brain Sciences|February 16, 2019
Bayesian statistics to test Bayes optimalityBrandon M Turner, James L McClelland, Jerome Busemeyer
Neuroimage|March 26, 2017
Factor analysis linking functions for simultaneously modeling neural and behavioral dataBrandon M Turner, Ting Wang, Edgar C Merkle
Psychological Review|September 8, 2011
A dynamic stimulus-driven model of signal detectionBrandon M Turner, Trisha Van Zandt, Scott Brown
Journal of Experimental Psychology. General|June 23, 2025
Algorithmic personalization of information can cause inaccurate generalization and overconfidenceGiwon Bahg, Vladimir M Sloutsky, Brandon M Turner
Pageof 6